Vladimir Makarov

48.2k total citations
27 papers, 1.7k citations indexed

About

Vladimir Makarov is a scholar working on Molecular Biology, Oncology and Genetics. According to data from OpenAlex, Vladimir Makarov has authored 27 papers receiving a total of 1.7k indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Molecular Biology, 8 papers in Oncology and 8 papers in Genetics. Recurrent topics in Vladimir Makarov's work include Cancer Immunotherapy and Biomarkers (5 papers), Genomic variations and chromosomal abnormalities (5 papers) and Ferroptosis and cancer prognosis (5 papers). Vladimir Makarov is often cited by papers focused on Cancer Immunotherapy and Biomarkers (5 papers), Genomic variations and chromosomal abnormalities (5 papers) and Ferroptosis and cancer prognosis (5 papers). Vladimir Makarov collaborates with scholars based in United States, Germany and Canada. Vladimir Makarov's co-authors include Seungtai Yoon, Jonathan Sebat, Zhenyu Xuan, Kenny Ye, Joseph D. Buxbaum, Timothy A. Chan, Coro Paisán‐Ruiz, Catharine E. Krebs, Siamak Karkheiran and Hossein Darvish and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nature Genetics and Journal of Clinical Oncology.

In The Last Decade

Vladimir Makarov

25 papers receiving 1.7k citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Vladimir Makarov United States 16 802 583 320 269 228 27 1.7k
Fengping Xu China 16 861 1.1× 207 0.4× 191 0.6× 137 0.5× 116 0.5× 30 1.6k
Ilse Wieland Germany 23 1.3k 1.6× 391 0.7× 223 0.7× 237 0.9× 201 0.9× 81 1.9k
Sergi Aranda Spain 16 1.8k 2.3× 318 0.5× 246 0.8× 284 1.1× 121 0.5× 30 2.3k
Karen D. Tsuchiya United States 26 1.5k 1.9× 1.0k 1.7× 369 1.2× 351 1.3× 131 0.6× 56 2.3k
Alex Lash United States 15 1.5k 1.9× 324 0.6× 295 0.9× 530 2.0× 80 0.4× 24 2.3k
Lukas Chávez United States 27 2.1k 2.7× 357 0.6× 357 1.1× 288 1.1× 99 0.4× 47 3.2k
Bruce E. Hayward United Kingdom 27 1.7k 2.2× 1.3k 2.3× 418 1.3× 174 0.6× 277 1.2× 54 2.9k
Ghayda Mirzaa United States 22 873 1.1× 711 1.2× 85 0.3× 104 0.4× 255 1.1× 56 1.7k
Jan Blancato United States 22 943 1.2× 454 0.8× 306 1.0× 254 0.9× 101 0.4× 47 1.7k
Jakob Lovén United States 15 2.5k 3.2× 365 0.6× 636 2.0× 435 1.6× 83 0.4× 17 3.1k

Countries citing papers authored by Vladimir Makarov

Since Specialization
Citations

This map shows the geographic impact of Vladimir Makarov's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Vladimir Makarov with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Vladimir Makarov more than expected).

Fields of papers citing papers by Vladimir Makarov

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Vladimir Makarov. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Vladimir Makarov. The network helps show where Vladimir Makarov may publish in the future.

Co-authorship network of co-authors of Vladimir Makarov

This figure shows the co-authorship network connecting the top 25 collaborators of Vladimir Makarov. A scholar is included among the top collaborators of Vladimir Makarov based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Vladimir Makarov. Vladimir Makarov is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Makarov, Vladimir, Yvonne Parker, Allen Wang, et al.. (2023). KDM6A Loss Triggers an Epigenetic Switch That Disrupts Urothelial Differentiation and Drives Cell Proliferation in Bladder Cancer. Cancer Research. 83(6). 814–829. 23 indexed citations
2.
Pavicic, Paul G., Patricia Rayman, Shadi Swaidani, et al.. (2023). Immunotherapy with IL12 and PD1/CTLA4 inhibition is effective in advanced ovarian cancer and associates with reversal of myeloid cell-induced immunosuppression. OncoImmunology. 12(1). 2198185–2198185. 9 indexed citations
3.
Ganly, Ian, Fengshen Kuo, Vladimir Makarov, et al.. (2023). Characterizing the Immune Microenvironment and Neoantigen Landscape of Hürthle Cell Carcinoma to Identify Potential Immunologic Vulnerabilities. Cancer Research Communications. 3(7). 1409–1422. 1 indexed citations
4.
Baratchian, Mehdi, Ritika Tiwari, Sirvan Khalighi, et al.. (2022). H3K9 methylation drives resistance to androgen receptor–antagonist therapy in prostate cancer. Proceedings of the National Academy of Sciences. 119(21). e2114324119–e2114324119. 35 indexed citations
5.
Haddock, Sara, Tyler Alban, Şevin Turcan, et al.. (2022). Phenotypic and molecular states of IDH1 mutation-induced CD24-positive glioma stem-like cells. Neoplasia. 28. 100790–100790. 10 indexed citations
6.
Dong, Yiyu, Yongxing Gong, Fengshen Kuo, et al.. (2021). Targeting the mTOR Pathway in Hurthle Cell Carcinoma Results in Potent Antitumor Activity. Molecular Cancer Therapeutics. 21(2). 382–394. 4 indexed citations
7.
Linxweiler, Maximilian, Fengshen Kuo, Nora Katabi, et al.. (2020). The Immune Microenvironment and Neoantigen Landscape of Aggressive Salivary Gland Carcinomas Differ by Subtype. Clinical Cancer Research. 26(12). 2859–2870. 79 indexed citations
8.
Turcan, Şevin, Vladimir Makarov, Julián Taranda, et al.. (2017). Mutant-IDH1-dependent chromatin state reprogramming, reversibility, and persistence. Nature Genetics. 50(1). 62–72. 140 indexed citations
9.
Dalin, Martin G., Alexis Desrichard, Nora Katabi, et al.. (2016). Comprehensive Molecular Characterization of Salivary Duct Carcinoma Reveals Actionable Targets and Similarity to Apocrine Breast Cancer. Clinical Cancer Research. 22(18). 4623–4633. 135 indexed citations
10.
Gerber, Naamit K., Anuj Goenka, Şevin Turcan, et al.. (2014). Transcriptional diversity of long-term glioblastoma survivors. Neuro-Oncology. 16(9). 1186–1195. 67 indexed citations
11.
Ionita‐Laza, Iuliana, Seunggeun Lee, Vladimir Makarov, Joseph D. Buxbaum, & Xihong Lin. (2013). Family-based association tests for sequence data, and comparisons with population-based association tests. European Journal of Human Genetics. 21(10). 1158–1162. 64 indexed citations
12.
Krebs, Catharine E., Siamak Karkheiran, James Powell, et al.. (2013). The Sac1 Domain of SYNJ 1 Identified Mutated in a Family with Early‐Onset Progressive P arkinsonism with Generalized Seizures. Human Mutation. 34(9). 1200–1207. 244 indexed citations
13.
Schafer, Chad, Nicholas G. Campbell, Guiqing Cai, et al.. (2013). Whole exome sequencing reveals minimal differences between cell line and whole blood derived DNA. Genomics. 102(4). 270–277. 8 indexed citations
14.
Ozomaro, Uzoezi, Guiqing Cai, Yuji Kajiwara, et al.. (2013). Characterization of SLITRK1 Variation in Obsessive-Compulsive Disorder. PLoS ONE. 8(8). e70376–e70376. 36 indexed citations
15.
Karkheiran, Siamak, Catharine E. Krebs, Vladimir Makarov, et al.. (2012). Identification of COL6A2 mutations in progressive myoclonus epilepsy syndrome. Human Genetics. 132(3). 275–283. 18 indexed citations
16.
Makarov, Vladimir, Tina O’Grady, Guiqing Cai, et al.. (2012). AnnTools: a comprehensive and versatile annotation toolkit for genomic variants. Bioinformatics. 28(5). 724–725. 34 indexed citations
17.
18.
Yoon, Seungtai, Zhenyu Xuan, Vladimir Makarov, Kenny Ye, & Jonathan Sebat. (2009). Sensitive and accurate detection of copy number variants using read depth of coverage. Genome Research. 19(9). 1586–1592. 424 indexed citations
19.
Makarov, Vladimir, et al.. (2008). Localization of Mullerian inhibiting substance receptors in various human cancer cell lines. Biochemistry (Moscow). 73(7). 797–805. 7 indexed citations
20.
Barker, David, Mark S. Hansen, A. Fawad Faruqi, et al.. (2004). Two Methods of Whole-Genome Amplification Enable Accurate Genotyping Across a 2320-SNP Linkage Panel. Genome Research. 14(5). 901–907. 176 indexed citations

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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